Whatever else you think of the election, it has been the mother of all teachable moments for many of us. It has raised questions about what we thought we knew about our democracy, our neighbors, our media…and apparently learning analytics. The shock of the polls being “wrong” has raised a lot of questions about how much we can really trust data analytics.
We boil these three buzz phrases down to basic, common-sense teaching strategies.
After Monday’s post on my confusion with Blackboard’s overall Learn strategy, I thought I would follow up with a reminder that there is one really important area where there are strong early signs that Blackboard is doing something right in a very important area: learning analytics. Learning analytics is one of those areas where there are many, […]
In the first part of this series, I identified four design goals for a learning platform that supports conversation-based courses. In the second part, I brought up a use case of a kind of faculty professional development course that works as a distributed flip, based on our forthcoming e-Literate TV series on personalized learning. In […]
Thanks to Audrey Watters I just read a new article in Science Magazine and publicly posted here by Justin Reich, the lead researcher for HarvardX (Harvard’s implementation of edX and associated research team)1. Justin calls out the limitations of current MOOC research that focuses on A/B testing and engagement instead of learning, single-course context, and post hoc analysis with […]